birdCLEF_train.py 文件源码

def calc_loss_multi(prediction, targets):

    #we need to clip predictions when calculating the log-loss
    prediction = T.clip(prediction, 0.0000001, 0.9999999)

    #binary crossentropy is the best choice for a multi-class sigmoid output
    loss = T.mean(objectives.binary_crossentropy(prediction, targets))

    return loss

#theano variable for the class targets